Lecture Notes

What We Learned in the Last Lecture

• Important packages of Python
• Variables, collections (lists, sets, dictionaries)
• String manipulation
• Conditions and statements
• Loops and functions

Today's Lecture

• Review of the previous lecture
• Important use of functions
• What is sentiment analysis?
• About machine learning and classification

Review of Functions

• How to create functions
• Arguments and parameters
• Introduction to practical programming

Sentiment Analysis

• Use by natural language processing
• How to analyze data
• Identifying positive and negative responses

Important Concepts of Machine Learning

• Meaning of classification
• Importance of labeled data
• Supervised learning and its examples
• Email classification and disease diagnosis

How Sentiment Analysis Works

• Importance of sentiment analysis in artificial intelligence
• Analysis of user data and use of responses

What is API?

• Definition of Application Programming Interface (API)
• How APIs are used, with examples
  • Use of banking APIs
  • Example of APIs in mechanic services

Types of APIs

• Different types of APIs and their uses
• Importance of framework APIs

Introduction to OpenAI

• OpenAI platform and functionality
• How to get started with OpenAI API
• How to generate and use an API key

Programming and Coding Topics

• Installing and importing packages in Python
• How to write code for sentiment analysis
• Analyzing based on text for users

Conclusion

• Students are urged to understand that it is essential to make an effort in programming
• Things to keep in mind while coding:
  • Avoid copy-pasting
  • Type and understand the code by yourself
• Prepare for the next class, maintain continuity in the learning process.